A joint multi-task RoBERTa classifier with LLM augmentation for utterance type and reasoning component classification in science classrooms improves minority class detection and identifies teacher feedback-questions as key triggers for student inferential reasoning.
Deliberative discourse idealized and realized: Accountable talk in the classroom and in civic life,
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Enhancing Science Classroom Discourse Analysis through Joint Multi-Task Learning for Reasoning-Component Classification
A joint multi-task RoBERTa classifier with LLM augmentation for utterance type and reasoning component classification in science classrooms improves minority class detection and identifies teacher feedback-questions as key triggers for student inferential reasoning.